22 of 22 Permanent LangGraph Jobs in London

experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks ...

engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise ...

multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency ...

across multiple teamsStrong experience with cloud platforms (AWS, Azure, GCP)Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG)Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency ...

Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience ...

monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years ...

Python skills, ideally including FastAPI. Strong AWS experience, including services such as Bedrock, Lambda, ECS/EKS, API Gateway and S3. Experience with LangChain, LangGraph, RAG, vector databases and multi-agent systems. Experience building APIs, platforms, tools and AI-enabled products. Familiarity with evaluation and observability tools such as Arize ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow/PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings ...

implementing RAG architectures, vector databases, knowledge graphs, and prompt engineering techniques Experience building multi-step LLM workflows and agentic systems, whether via frameworks (e.g. LangGraph, Strands, Agent SDKs) or custom implementations Strong Python proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, or Azure) Solid ...

/Flask) JavaScript, REST APIs & SQL Server AI & LLM applications RAG pipelines & agentic AI workflows Locally hosted open-source LLMs Microsoft Power Platform LangChain, LangGraph, Semantic Kernel & Copilot Studio exposure Why this role stands out: Real AI engineering projects - not just "AI strategy" Opportunity to work with cutting-edge agentic ...

best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication ...

stakeholder management and communication skills Desirables Hands-on exposure to AI engineering concepts such as Python, prompt engineering, or agent frameworks Experience with LangChain, LangGraph, LlamaIndex, or similar AI tooling Knowledge of Claude (Anthropic), AI APIs, or agentic workflows Experience working within financial services, reporting, environmental or regulatory environments Exposure ...

Strong commercial experience as a full stack or backend focused engineer Hands on experience building agentic AI systems using frameworks such as LangChain or LangGraph Experience shipping AI powered features into production environments Solid understanding of cloud infrastructure, ideally AWS and services such as Bedrock or serverless tooling Experience with ...

made architecture decisions at meaningful scale, so has a profile that evidence of that kind of decision making. AI as core leverage - LangChain, LangGraph, MCP, Claude Code, spec-driven development, prompt versioning at production etc., rather than just using AI as a productivity tool. What’s on Offer Opportunity ...

languages used in AI engineering. Hands-on experience with AI and agent frameworks such as Microsoft Copilot, Copilot Studio, Autogen Agents, Amazon Q, LangChain, LangGraph or similar platforms. The ability to analyse, evaluate and optimise agent behaviour and AI system performance. Experience delivering solutions using cloud platforms and cloud-native ...

Core Pod to adopt and influence reusable assets, frameworks, and integration patterns Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI Develop prompt chains , agent tools, and custom modules that support reasoning, summarization, and multi-step task execution Integrate agents with enterprise systems (e.g. … Strong proficiency in Python , with hands-on experience using FastAPI , REST APIs, and background task orchestration Deep familiarity with agentic frameworks such as LangChain , LangGraph , CrewAI , ReAct , or similar Understanding of LLM orchestration , including prompt design, tool usage, context management, and agent memory Experience integrating with enterprise systems via APIs ...

Core Pod to adopt and influence reusable assets, frameworks, and integration patterns Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI Develop prompt chains , agent tools, and custom modules that support reasoning, summarization, and multi-step task execution Integrate agents with enterprise systems (e.g. … Strong proficiency in Python , with hands-on experience using FastAPI , REST APIs, and background task orchestration Deep familiarity with agentic frameworks such as LangChain , LangGraph , CrewAI , ReAct , or similar Understanding of LLM orchestration , including prompt design, tool usage, context management, and agent memory Experience integrating with enterprise systems via APIs ...

Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications Build …/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelors degree in Computer Science, Engineering or a related discipline (2.1 or above ...

Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications Build …/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelor’s degree in Computer Science, Engineering or a related discipline (2.1 ...

Engineer | Python | LLM | Agentic Workflows | LangGraph | EducationTech | Remote, London | £65k Looking to help shape AI Strategy for a scaling Tech-for-Good business I'm partnered with a AI-first data and analytics platform built for schools, multi-academy trusts and education groups. Their technology connects fragmented school data - attendance … meaningful impact.They are looking for an AI Developer to extend, improve and scale their 22-agent agentic AI platform. The system is built on LangGraph with a supervisor-of-supervisors architecture, integrates multiple LLMs (including Google Gemini), and is monitored via LangSmith.You’ll build and refine agent sub-graphs, improve ...

Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering ...